Symbol grounding is about moving down and moving up along a dikw pyramid. This allows to hide the details and expand the details of a subject. For the example of a warehouse robot the dikw pyramid can be implemented as a python dictionary which shows only the upper layer and the bottom layer:
dikw_pyramid={
"wisdom": {
"Go to the loading bay and clear the blockage.",
},
"data": {
"lidar_dist": 0.5, "weight_kg": 25.0, "coords": (12.4, 45.8)
},
}
The raw sensor data are feed into the data layer and are formmated as numerical values. In contrast the wisdom layer of the pyramid stores the voice commands formulated in English sentences. The task for the symbol grounding engine is to translate between these layers. This is realized by instruction following (from top to bottom) and activitity recognition (from bottom to top).
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